nirtg

主要针对行为识别，常用数据处理方法及分类，可视化 包含数据集(Mainly for behavior recognition, commonly used data processing methods and classification, visualization Contain data sets)

很好用的关联规则挖掘经典算法，推荐使用。包括支持度、置信度、提升度，输出结果到excel文件(Good use of association rules mining classic algorithm, recommended)

此为利用optics聚类方法剔除风电异常数据后，采用极限学习机验证的代码(optics data mining)

说明：  R语言构建贝叶斯网络，很实用的讲解和案例(Construction of Bayesian network with R language, a very practical explanation and case)

说明：  自动生成Excel表格，包括测量系统分析MSA GR&R--均值极差法 ,方差分析，均值极差(Automatic generation of Excel tables, including measurement system analysis MSA GR&R - mean extreme difference method, variance analysis, mean extreme difference)

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说明：  python PCA算法原理推导，及源代码实现，并基于PCA算法实现图片压缩，附pdf文件说明(Python PCA algorithm principle derivation, and source code implementation, and based on PCA algorithm to achieve image compression, with PDF file description)

说明：  分类器的性能比较与调优: 使用scikit-learn 包中的tree，贝叶斯，knn，对数据进行模型训练，尽量了解其原理及运用。 使用不同分析三种分类器在实验中的性能比较，分析它们的特点。 本实验采用的数据集为house与segment。(Performance comparison and optimization of classifiers: We use tree, Bayesian and KNN in scikit-learnpackage to train the data model and try to understand its principle and application. The performances of three classifiers are compared and their characteristics are analyzed. The data set used in this experiment is house and segment.)

数据挖掘算法，高效用项集挖掘算法，加权频发项集挖掘算法，HMINE算法，源码中有详细注释

基于混合信号的小波包分解技术在故障特征提取中的应用(Feature Extraction Using Multisignal Wavelet Packet Decomposition)